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<div class="title">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt; 成员列表</div>  </div>
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<p>成员的完整列表，这些成员属于 <a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a>,包括所有继承而来的类成员</p>
<table class="directory">
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a1d9b74d62021c431e5519a0546b888c5">alignYCoordWithNormal</a>(const NormalT &amp;in_normal)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a1ba2c5aed4e6ca83a4c43e51c0f8b915">applyTransform</a>(Eigen::Vector3f &amp;io_vec, const Eigen::Matrix3f &amp;in_transform)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ab5390e2ac51390339be681e644a1bdc9">calculateSigmas</a>(std::vector&lt; float &gt; &amp;sigmas)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a833845333ec925a77af5b963953ee37d">calculateWeights</a>(const std::vector&lt; LocationInfo, Eigen::aligned_allocator&lt; LocationInfo &gt; &gt; &amp;locations, const Eigen::MatrixXi &amp;labels, std::vector&lt; float &gt; &amp;sigmas, std::vector&lt; std::vector&lt; unsigned int &gt; &gt; &amp;clusters, std::vector&lt; std::vector&lt; float &gt; &gt; &amp;statistical_weights, std::vector&lt; float &gt; &amp;learned_weights)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#accdd4bb97e49ade2295cd49f59e78eba">clusterDescriptors</a>(std::vector&lt; pcl::Histogram&lt; FeatureSize &gt; &gt; &amp;histograms, Eigen::MatrixXi &amp;labels, Eigen::MatrixXf &amp;clusters_centers)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a4f7f33ad9a8cec7886f8746b45165095">computeDistance</a>(Eigen::VectorXf &amp;vec_1, Eigen::VectorXf &amp;vec_2)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a6e7cc25fdb5957ffb10cc45cffdfc144">computeKMeansClustering</a>(const Eigen::MatrixXf &amp;points_to_cluster, int number_of_clusters, Eigen::MatrixXi &amp;io_labels, TermCriteria criteria, int attempts, int flags, Eigen::MatrixXf &amp;cluster_centers)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a95ecb201992f3fcc3b0df7f30d1db105">estimateFeatures</a>(typename pcl::PointCloud&lt; PointT &gt;::Ptr sampled_point_cloud, typename pcl::PointCloud&lt; NormalT &gt;::Ptr normal_cloud, typename pcl::PointCloud&lt; pcl::Histogram&lt; FeatureSize &gt; &gt;::Ptr feature_cloud)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#aada2c42e9685032c4cd2beb2a29b157c">extractDescriptors</a>(std::vector&lt; pcl::Histogram&lt; FeatureSize &gt; &gt; &amp;histograms, std::vector&lt; LocationInfo, Eigen::aligned_allocator&lt; LocationInfo &gt; &gt; &amp;locations)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a59c6f181873500f38df1d7eab07a67cb">feature_estimator_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a16e7d9f66e627dc6e68206ffabb45c95">findObjects</a>(ISMModelPtr model, typename pcl::PointCloud&lt; PointT &gt;::Ptr in_cloud, typename pcl::PointCloud&lt; Normal &gt;::Ptr in_normals, int in_class_of_interest)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a6a0f8e46d933e4b93b320a2c9682db84">generateCentersPP</a>(const Eigen::MatrixXf &amp;data, Eigen::MatrixXf &amp;out_centers, int number_of_clusters, int trials)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a33688b88157c6d8b15290ed88646effb">generateRandomCenter</a>(const std::vector&lt; Eigen::Vector2f, Eigen::aligned_allocator&lt; Eigen::Vector2f &gt; &gt; &amp;boxes, Eigen::VectorXf &amp;center)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#aca084efb9d923b8963ae18c4b3550564">getFeatureEstimator</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ab4cf537c4ecdbd38cdaa92bbefd2654d">getNumberOfClusters</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a5b8561475b8dcf05c214fdaa3d786918">getNVotState</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#afd2eea3c7f85613e9b80bf5b8f822577">getSamplingSize</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#acddaa58ec2977624f87a24e5432d831e">getSigmaDists</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a82f839cf09e9db845af7659cb66a6fe0">getTrainingClasses</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a2cfd927e2f6297db673dcc5b96cdc1b4">getTrainingClouds</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#af932b3a78637dc245cda7ea03d45e9e8">getTrainingNormals</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a6dfe939775dc97b5a076c815a4d5bdac">ImplicitShapeModelEstimation</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>ISMModelPtr</b> typedef (定义于 <a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a>)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#aaf6529639183fac2a343afad1329c389">n_vot_ON_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ab74fef9c7fed6a762448dd89f9210e12">number_of_clusters_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a28998d39a77ee1428add8d117ffa73eb">operator=</a>(const ImplicitShapeModelEstimation &amp;)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a95927f44e0c0364766cd4fc0ceace646">PP_CENTERS</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">static</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#adf847cb3c880ca5d2dc5f71d60a0d725">sampling_size_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#aaf734e2f3120bb043404596956f01f6c">setFeatureEstimator</a>(boost::shared_ptr&lt; pcl::Feature&lt; PointT, pcl::Histogram&lt; FeatureSize &gt; &gt; &gt; feature)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ac0b8072d7f6048c714854202bf00790a">setNumberOfClusters</a>(unsigned int num_of_clusters)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a4a5c99e74ddf4ae9bc3caa3575b6ca11">setNVotState</a>(bool state)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ae01b18529098566b7244f16ccf864cf1">setSamplingSize</a>(float sampling_size)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#af8eb194807519f620f01decec6dcd8a7">setSigmaDists</a>(const std::vector&lt; float &gt; &amp;training_sigmas)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#afa36d00337ee0a1adfc2b566fc46e9d7">setTrainingClasses</a>(const std::vector&lt; unsigned int &gt; &amp;training_classes)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a43e42d336b600c4d6e7d8b9665d16c86">setTrainingClouds</a>(const std::vector&lt; typename pcl::PointCloud&lt; PointT &gt;::Ptr &gt; &amp;training_clouds)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a5c310cb89a7be4b388bea1526111a525">setTrainingNormals</a>(const std::vector&lt; typename pcl::PointCloud&lt; NormalT &gt;::Ptr &gt; &amp;training_normals)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a56c5bfb3d5801c417ae72bd8f2f80316">shiftCloud</a>(typename pcl::PointCloud&lt; PointT &gt;::Ptr in_cloud, Eigen::Vector3f shift_point)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#aeab8318ded750cbf52cd272daeeeba98">simplifyCloud</a>(typename pcl::PointCloud&lt; PointT &gt;::ConstPtr in_point_cloud, typename pcl::PointCloud&lt; NormalT &gt;::ConstPtr in_normal_cloud, typename pcl::PointCloud&lt; PointT &gt;::Ptr out_sampled_point_cloud, typename pcl::PointCloud&lt; NormalT &gt;::Ptr out_sampled_normal_cloud)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a2110e36af289f3b172a1aecff09e300c">TermCriteria</a> typedef</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a5bea2020d8fbe1a7a824eb57eed5a31e">training_classes_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ae649a1601f3d60f929d41782e9733bea">training_clouds_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a7145a95483ee85c15fb36bf0c34a4861">training_normals_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ae02a68f40df9efa2b38bb4acc6b58f20">training_sigmas_</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a0df7cc562e4e36d408c2738e67d1191f">trainISM</a>(ISMModelPtr &amp;trained_model)</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#ad32395d4f6b46da4433911b29045b5b5">USE_INITIAL_LABELS</a></td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">static</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html#a54ebf011063ef77084762d3f2b08a513">~ImplicitShapeModelEstimation</a>()</td><td class="entry"><a class="el" href="classpcl_1_1ism_1_1_implicit_shape_model_estimation.html">pcl::ism::ImplicitShapeModelEstimation&lt; FeatureSize, PointT, NormalT &gt;</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
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